Performance modelling of a fault-tolerant agent-driven system

Mobile agent-based technology has attracted considerable interest in both academia and industry in recent years. Many agent-based execution models have been proposed and their effectiveness have been demonstrated in the literature. However, these models require a high overhead to achieve the reliable execution of mobile agents. In this paper, we propose a new mobile agent-based execution model, which is based on a surveillant mechanism. Extensive theoretical analysis of a stochastic nature is provided to evaluate the performance of our model, including the transaction time from node to node, the life expectancy of mobile agents, and the population distribution of mobile agents. The analytical results reveal new theoretical insights into the fault-tolerant execution of mobile agents and show that our model outperforms the existing fault-tolerant models. Our model provides an efficient way to increase overall performance and a promising method in achieving mobile agent system reliability.